Abstract #0182

Quantitative Parameter Mapping of Prostate using Stack-of-Stars and QTI Encoding

Rolf F Schulte¹, Carolin M Pirkl¹, Pablo Garcia-Polo², Matteo Cencini^3,4, Michela Tosetti^3,4, Luis Marti-Bonmati⁵, and Marion I Menzel^1,6

¹GE Healthcare, Munich, Germany, ²GE Healthcare, Madrid, Spain, ³IRCCS Stella Maris, Pisa, Italy, ⁴IMAGO7 Foundation, Pisa, Italy, ⁵Hospital Universitario y Politécnico La Fe, Valencia, Spain, ⁶Technische Hochschule Ingolstadt, Ingolstadt, Germany

Synopsis

Quantitative MRI offers diagnostic insights into tissue and enables characterisation of diseases, while reducing variability between operators, sites and vendors. A stack-of-stars sequence using Quantitative Transient State Imaging (QTI) was optimised and implemented to map T1, T2 and Proton Density in human prostates. Resulting in vivo multi-parametric maps were of high quality, while validation in the NIST phantom show good agreement with T1 and T2 reference values.

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